ArticleBMC cancer2022
Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Early Prediction of the Breast Cancer Response to Neoadjuvant Chemotherapy Based on Intratumoral Interstitial Fluid Pressure using 3-D Subharmonic-Aided Pressure Estimation.Ultrasound in medicine & biology · 2026Article
- Diagnostic Accuracy of Post-Treatment ADC and MRI Response Assessment for Predicting Pathological Complete Response in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.Journal of clinical medicine · 2026Article
- Modification of RECIST 1.1 criteria for assessing response in breast tumours treated with radiation therapy using multiparametric breast MRI: Radiology and oncology perspective.Breast (Edinburgh, Scotland) · 2026Article
- Changing slopes: can we be moving toward improved early treatment response prediction in breast cancer?European radiology · 2026Article
- Longitudinal wash-in slope changes on dynamic contrast enhancement MRI for predicting response to neoadjuvant chemotherapy in breast cancer.European radiology · 2026Article
- Pre-Treatment Breast MRI Features and ADC Values as Predictors of Pathologic Complete Response in Breast Cancer: A Molecular Subtype-Based Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- Article
- Dual-input spatio-temporal transformer model: Predicting the efficacy of NACT in breast cancer based on DCE-MRI images.iScience · 2026Article
- Magnetic resonance imaging in breast cancer management: current applications, limitations, and future directions.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026Review
- Artificial intelligence-driven multimodal fusion for precision diagnosis and personalized management of breast cancer.Oncology reviews · 2026Review
- Predictive Value of Dimensional and Functional MRI Parameters on Mid-Treatment MRI for Pathologic Complete Response in Breast Cancer.European journal of breast health · 2025Article
- Early-phase semi-quantitative analysis versus full time-course quantitative modeling of ultrafast dynamic contrast-enhanced MRI for breast cancer diagnosis, molecular subtyping, and treatment response prediction.Insights into imaging · 2025Article
- Arterial-phase mucosal linear enhancement as an indicator of pathological complete response after immunotherapy in pMMR/MSS locally advanced rectal cancer.La Radiologia medica · 2025Article
- Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.Radiology. Artificial intelligence · 2025Article
- 18F-FDG PET/CT-based deep radiomic models for enhancing chemotherapy response prediction in breast cancer.Medical oncology (Northwood, London, England) · 2025Article
- Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features.BMC medical imaging · 2025Article
- Evaluating dynamic contrast-enhanced MRI for differentiating HER2-zero, HER2-low, and HER2-positive breast cancers in patients undergoing neoadjuvant chemotherapy.European journal of medical research · 2025Article
- Accuracy of MRI Versus PET/CT in the Prediction of Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer.Cureus · 2024Article
- Review
- Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response.Insights into imaging · 2023Article
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9 authors.
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Abstract
introductionImproving the early prediction of neoadjuvant chemotherapy (NAC) efficacy in breast cancer can lead to an improved prediction of the final prognosis of patients, which would be useful for promoting individualized treatment. This study aimed to explore the value of the combination of dynamic contrast-enhanced (DCE)-MRI parameters and apparent diffusion coefficient (ADC) values in the early prediction of pathological complete response (pCR) to NAC for breast cancer.
methodsA total of 119 (range, 28-69 years) patients with biopsy-proven breast cancer who received two cycles of NAC before breast surgery were retrospectively enrolled from our hospital database. Patients were divided into pCR and non pCR groups according to their pathological responses; a total of 24 patients achieved pCR, while 95 did not. The quantitative (K
resultsThe K
conclusionsThe results suggested that the combination of ADC values and quantitative and semiquantitative DCE-MRI parameters, especially the combination of W-in, TTP, and ADC values, may improve the early prediction of pCR in breast cancer.
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